There are some interesting surveys about FL in wireless communications such as [1]}, [2]}, [3]}, [4]}, [5]}, [6]}.
The unique characteristics and challenges of FL were discussed in [1]}.
Moreover, this work provided an overview of the current approaches, and outlined several directions of future work.
The work in [2]} introduced the challenges of FL implementation and reviewed the
existing solutions.
In [3]}, the authors
described the challenges of machine learning systems that are configured at the edge computer networks.
Considering RL,
the authors in [4]}
proposed to integrate deep RL techniques and the FL framework with mobile edge systems, for optimizing mobile edge computing, caching and wireless communication resource.
In addition, the work in [5]} explored the key building blocks of edge machine learning and different wireless network architectural splits for wireless communications.
The study about FL application was surveyed in [6]} including software and hardware platforms, protocols, real-life applications and use-cases.
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